Lifeboat Foundation

They were created to imitate neural networks within the human brain.

Artificial neural networks (ANNs) mimic biological neural networks in the human brain. ANN consists of an input layer, a hidden layer, and an output layer.

Also called neural nets, ANNs are used daily in healthcare, social media when suggesting people you might know, and in marketing when recommending products to consumers.

Continue reading “Artificial neural network: Here’s everything you need to know about black box of AI” »

According to state media, Chinese scientists are now in a position to supply critical parts for the planned International Thermonuclear Experimental Reactor project.

According to the south china morning post.

Continue reading “Fusion energy is one step closer thanks to developments in China, according to Chinese state media” »

These walking spider excavators are among the ‘greatest sandpit toys in history.’

These spider excavators have stunned many tech aficionados; the obscure machines undoubtedly rate among “the greatest sandpit toys in history.”

Walking excavators are not new. Not by a long way.

Continue reading “In pictures: These spider excavators came straight out of the Transformers movie” »

https://youtube.com/watch?v=WL3DQfQqCQg

Do you think the image of Elon Musk as a good human being should come to be questioned when he’s a major contractor of the war machine? What are your thoughts?

By Alan MacLeod / MintPress News

Continue reading “Elon Musk Is Not a Renegade Outsider—He’s a Massive Pentagon Contractor” »

Many children grow up gazing up at the night sky, dreaming of becoming astronauts who boldly go to the Moon – and beyond.

But in order to get that elusive job, would-be astronauts must make it through a competitive selection process. For NASA’s 2021 class of astronauts, the space agency said it chose just 10 candidates from more than 12,000 applicants.

Continue reading “Here’s How NASA Determines Which Applicants Make It to Be Astronauts” »

With the help of an AI, researchers at Chalmers University of Technology, Sweden, have succeeded in designing synthetic DNA that controls the cells’ protein production. The technology can contribute to the development and production of vaccines, drugs for severe diseases, as well as alternative food proteins much faster and at significantly lower costs than today.

How genes are expressed is a process that is fundamental to the functionality of cells in all living organisms. Simply put, the genetic code in DNA is transcribed to the molecule messenger RNA (mRNA), which tells the cell’s factory which protein to produce and in which quantities.

Researchers have put a lot of effort into trying to control gene expression because, among other things, it can contribute to the development of protein-based drugs. A recent example is the mRNA vaccine against COVID-19, which instructed the body’s cells to produce the same protein found on the surface of the coronavirus.

Physicists say they’ve found evidence in data from Europe’s Large Hadron Collider for three never-before-seen combinations of quarks, just as the world’s largest particle-smasher is beginning a new round of high-energy experiments.

The three exotic types of particles – which include two four-quark combinations, known as tetraquarks, plus a five-quark unit called a pentaquark – are totally consistent with the Standard Model, the decades-old theory that describes the structure of atoms.

In contrast, scientists hope that the LHC’s current run will turn up evidence of physics that goes beyond the Standard Model to explain the nature of mysterious phenomena such as dark matter. Such evidence could point to new arrays of subatomic particles, or even extra dimensions in our Universe.

Confusing? It may sound so, but it isn’t actually. What Benini and Milan have done is apply the theory of the holographic principle to black holes. In this way, their mysterious thermodynamic properties have become more understandable: by focusing on predicting that these bodies have high entropy and looking at them in terms of quantum mechanics, which allows us to describe them as a hologram: they have two dimensions, in which gravity disappears, but they reproduce an object in three dimensions.

But there’s more. Much more.

According to the authors of the new studies, this is only the first step towards a deeper understanding of these cosmic bodies and the properties that characterize them when quantum mechanics intersects with general relativity.

ETH Zurich researchers have found that a set of proteins have different shapes in the spinal fluid of healthy individuals and Parkinson’s patients. These could be used in the future as a new type of biomarker for this disease.

Many human diseases can be detected and diagnosed using biomarkers in blood or other body fluids. Parkinson’s disease is different: to date, there is no such biomarker being used in the clinicto indicate this neurodegenerative disease.

A team led by ETH Zurich Professor Paola Picotti could now help to close this gap. In a study just published in the journal Nature Structural and Molecular Biology, the researchers present 76 proteins that might serve as biomarkers for the detection of Parkinson’s disease.